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Credentials and Qualifications: PhD. in Statistics, Computer Science, Mathematics, Health Informatics, Epidemiology, Operational Research, Natural or Behavioral Sciences, or other related discipline required.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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Preferred certification: AWS Associate Solutions Architect or Developer certificationBachelor's degree in Computer Science, Management of Information Systems, or closely related disciplineSecret clearance required; accepted candidates will be submitted for TS/SCI. Active TS/SCI eligibility preferred.
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Position Summary AI – Innovation, Delivery and Business Development Leader (Consumer & Retail Focus)SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in building industry-specific, artificial intelligence (AI) technologies.
$339,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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IT Qualifications At least two of the following: Bachelor of Engineering – Computer Science, Bachelor of Technology – Computer Science, Master of Computer Application CompTIA A+, Microsoft Certified Professional (MCP) or better.
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To lay audiences Preferred skills: experience designing and maintaining RDBMS using PostgreSQL including the application of proper data modeling principles and database tuning at scale Preferred skills: experience with Linux operating system and with shell scripting (i.e., bash, PowerShell) Preferred skills: familiarity of advanced data analysis techniques (i.e., natural language processing, machine learning, etc.
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2+ years experience in data science and network analysis including AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models.
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The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. Our specialties are data science and analytics, data engineering, software engineering, and end-to-end analytic solutions architecture.
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Master's degree or bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
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B.S. Geographic Information Systems, Computer Science, Engineering, Geographic Information Systems, Land Use Planning, or directly-related discipline (direct experience can substitute for education.
$76,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
$217,700 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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AI, Machine Learning, Data Science & Analytics (Required: Python, TensorFlow, Neural Networks, Predictive Modeling, LLM) You probably have a master’s degree or Ph. D. in a quantitative field such as computer science, applied mathematics, statistics, engineering, or machine learning - or an equivalent combination of education and experience.
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Master or PhD degree from a quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, Economics, Finance, etc.) The Wholesale Credit and Climate Risk (WCCR) group within Citi Data, Analytics, Risk, Technology (DART) is looking to add an experienced quantitative analyst at Assistant Vice President (AVP) level to join the Loss Forecasting and Analytics team in Tampa, Florida.
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data science computer jobs in Tampa, Kekaha, Hawaii
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